Hows drainage?

Also they kept the much cheaper pavers around it, which looks stupid as hell.

I knew my people were out there!

Mark Danielewski: that’s cute

That’s Crow T Date(??) to you?

The Truman show

So much existential dread

._.

Sucks to suck David, we partying with Goliath up here!

)
 \o
  |\
..|\.,..,,...,. .. .

ETA: Does the ground look like knees? I fixed it

Nobody asking the country or US district of?

Ah man

We failed!

We created a vast network of active communities for nothing!

Me too

I don’t think the US government has any sort of grand plan more coherent than one of Trumps oily McDonald’s shits anymore.

Yeah a mix of regex and heuristics to validate before parsing

It was a long time ago now

It also had to parse ipv4 because they can be embedded (IIRC) and the different octet formats

How do I short the entire US economy?

Normally I’d say this is the stupidest fucking thing I’ve heard, but I don’t even know if it makes the top 10 this week.

There’s a very high chance of racial bias issues here

Actually, now that I think about it, you don’t even need to tell the model about the ad, you just weight some of the input tokens with the ad embedding and it naturally biases towards talking about that brand.

It won’t be long until the LLMs are trained with for ad-RAG

While each conversation happens a second model will scan it, send the contents to a vector search, return as embedding and a score, then give those outputs silently to the conversing model.

You do need to train/fine tune the model to not mention that it received the ad and subtly push it.

I wrote and ipv6 parser once.

Never again.

I don’t care.

I avoid the services as a protest and I also enjoy the alternatives.

I’m not going to bankrupt them, but I’m not helping them.

The out of the box containerization is still pretty new though — it’s like a month old